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NEURAL NETWORK INFERENCE WITHIN PHYSICAL DOMAIN VIA INVERSE DESIGN TOOL

机译:通过逆向设计工具在物理域内进行神经网络推理

摘要

A computer-implemented method for revising structural parameters of a physical device is provided. The method comprises configuring a simulated environment to be representative of the physical device based on an initial description that describes structural parameters of the physical device. The method further includes performing an operational simulation of the physical device based on training data representative of physical stimuli within a physical domain to simulate an interaction between the physical device and the physical stimuli. The method further includes computing a loss value based on a simulated output of the physical device and performing and adjoint simulation by backpropagating the loss value through the simulated environment. The method also includes generating a revised description of the physical device by updating the structural parameters to reduce the loss value.
机译:提供了一种用于修改物理设备的结构参数的计算机实现的方法。该方法包括基于描述物理设备的结构参数的初始描述将模拟环境配置为代表物理设备。该方法还包括基于表示物理域内的物理刺激的训练数据来执行物理设备的操作模拟,以模拟物理设备与物理刺激之间的相互作用。该方法还包括基于物理设备的模拟输出来计算损耗值,以及通过使损耗值在仿真环境中反向传播来执行和伴随仿真。该方法还包括通过更新结构参数以减小损耗值来生成物理设备的修订描述。

著录项

  • 公开/公告号WO2020219272A1

    专利类型

  • 公开/公告日2020-10-29

    原文格式PDF

  • 申请/专利权人 X DEVELOPMENT LLC;

    申请/专利号WO2020US27269

  • 发明设计人 LU JESSE;ADOLF BRIAN;SCHUBERT MARTIN;

    申请日2020-04-08

  • 分类号G06N3/067;G06F30/27;G06N3/04;G06N3/08;G06E3;G02B5/02;G06F30/23;

  • 国家 WO

  • 入库时间 2022-08-21 11:08:45

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